New York City Health Atlas

Injury ER Visits

Compare This Metric

Description

Number of emergency room visits for injuries, poisonings, or accidents.


Calculation

Number of ER visits for injuries per 1,000 population.


Source

Statewide Planning and Research Cooperative System (SPARCS) Outpatient Data, 2011-2013.


Years of Data

2011-2013


Additional Resources

City Wide Average

76.0

Census Tract 1008200 Average

34.0

Averages

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76.0 City-Wide
65.8 Manhattan
34.0 Tract

Census Tract 1008200

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Injury ER Visit Rate Population (2011-2013)
All 34.0 10,748

Sex

Female 29.7 6,062
Male 53.4 4,685

Race/Ethnicity

Asian/Pacific Islander 17.6 1,651
Black 83.0 1,145
Hispanic 73.0 822
White 23.3 7,035

Age

0-14 years 64.8 972
15-24 years 52.8 739
25-34 years 32.1 2,365
35-44 years 22.0 2,050
45-54 years 24.4 1,720
55-64 years 34.0 1,354
65-74 years 40.3 769
75+ years 30.5 754
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Correlation Is Not Causation

In statistics, correlation is a measure of association between two numeric variables. The strength of correlation between two variables is represented by the correlation coefficient, represented by the abbreviation r. Correlation coefficients range between -1 to 1.

Though the correlation coefficient indicates the strength of an association, it does not provide information about whether the change in one variable is caused by the other.

For example, if the correlation between adult smoking prevalence and child poverty is 0.7—a strong correlation—we cannot say either that adult smoking causes child poverty or, inversely, that child poverty causes smoking. We only know that as one of these variables increases, the other tends to increases.